Instructions to use eustlb/moonshine-streaming-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/moonshine-streaming-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eustlb/moonshine-streaming-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("eustlb/moonshine-streaming-tiny") model = AutoModelForMultimodalLM.from_pretrained("eustlb/moonshine-streaming-tiny") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
608f9a7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b4b180f9ecd2c6a868eafc937edd443ef9f8a5284a61a182b9d093c753a2ff73
size 176237340
|